Cultivating Production Excellence
summary
Argues for measurable production excellence: set SLIs/SLOs (example target 99.9% over 30 days), compute an error budget (1/1,000 requests → 10,000 failures/month at 10M requests) and use it to decide wakeups; ship fast and safe (builds <10 min, push hourly, 14 deploys/day) while instrumenting with OpenTelemetry and Honeycomb-style traces for live debugging. Run controlled chaos (restart one server weekly, test Kafka failover), gate risky experiments with feature flags and Terraform, and fix missing telemetry that hid a real outage.
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chapters (15)
- 0:00Start
- 4:20What does uptime mean?
- 8:22Noisy alerts. Grumpy engineers.
- 11:00We forgot who operates systems.
- 15:28We need Service Level Indicators
- 18:06Set a target Service Level Objective.
- 18:19Use a window and target percentage.
- 29:23Observability isn't just the data.
- 31:59Collaboration is interpersonal.
- 32:46Lean on your team.
- 34:47Reward curiosity and teamwork.
- 36:54Quantify risks by frequency & impact.
- 49:36Experiment using error budgets.
- 52:16Test the telemetry too!
- 56:09Buy the right tools...
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